OpenAI released GPT-4.5 on 27 February, and I watched the usual cycle happen: benchmarks, hot takes, people suggesting it’s either the best thing ever or marginally better than last time.
But the reality is that ou can credibly use GPT-4.5, Claude 3.7, Gemini 2, DeepSeek R1, Llama 3, Mistral, or a couple of specialist models for most tasks nowadays.
The best thing to do s ignore the benchmarks and just try it. Build a small thing with each provider. See how it feels. Pick the one that doesn’t frustrate you or surprise you in bad ways. That’s probably the right one.
There is no single “best model” right now. There are tradeoffs. GPT-4.5 is probably the most capable on some tasks. Claude is probably the safest for enterprise use. DeepSeek is probably the cheapest. Llama is good if you want to run it yourself. The model that’s “best” for you is the one that fits your constraints, not the one with the highest benchmark score.
It means you’re allowed to pick based on boring stuff like operations and cost and team familiarity instead of reading X and worrying that you picked wrong. And if you pick wrong, you can change your mind if it’s not working.
The advice I’m giving is: pick a platform and a model, use it for 30 days, pay attention to what’s hard and what’s easy, then decide. Most clients find that they’re happy with their choice by day 21 because the differences that matter to their actual work are usually smaller than the differences that make headlines.